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"Can I and how do I use a correlation matrix for categorical variables?"
I'm new to RapidMiner, so I apologise in advance for all the silly questions that I ask.
For a project that I am doing for uni, I have a dataset that contains both categorical and numerical variables. We are supposed to choose Predictors to predict our label "recommended" which is a binominal variable.
First of all, in addition to the >0.5 corrleation rule, can I choose my predictors based on the attribute weights in the AttributeWeight Table? How do I interpret this weight table? Why are the values contradicting with the correlation values?
Second, can I use categorical variables for my correlation matrix? If I can, how do I transform my categorical variables into dummy variables so that I can use them in the matrix? I know about the Nominal to Numerical Operator but I am not sure if that is the correct way to go because I am getting only negative correlations! (thats 14 attributes negatively correlated to Recommended) Is that normal?
Thanks a TON.